City University of Hong Kong, Hong Kong, China (Hong Kong).
Nanyang Technological University, Singapore, Singapore.
J Med Internet Res. 2022 Feb 16;24(2):e23355. doi: 10.2196/23355.
Prior literature suggests that alert dismissal could be linked to physicians' habits and automaticity. The evidence for this perspective has been mainly observational data. This study uses log data from an electronic medical records system to empirically validate this perspective.
We seek to quantify the association between habit and alert dismissal in physicians.
We conducted a retrospective analysis using the log data comprising 66,049 alerts generated from hospitalized patients in a hospital from March 2017 to December 2018. We analyzed 1152 physicians exposed to a specific clinical support alert triggered in a hospital's electronic medical record system to estimate the extent to which the physicians' habit strength, which had been developed from habitual learning, impacted their propensity toward alert dismissal. We further examined the association between a physician's habit strength and their subsequent incidences of alert dismissal. Additionally, we recorded the time taken by the physician to respond to the alert and collected data on other clinical and environmental factors related to the alerts as covariates for the analysis.
We found that a physician's prior dismissal of alerts leads to their increased habit strength to dismiss alerts. Furthermore, a physician's habit strength to dismiss alerts was found to be positively associated with incidences of subsequent alert dismissals after their initial alert dismissal. Alert dismissal due to habitual learning was also found to be pervasive across all physician ranks, from junior interns to senior attending specialists. Further, the dismissal of alerts had been observed to typically occur after a very short processing time. Our study found that 72.5% of alerts were dismissed in under 3 seconds after the alert appeared, and 13.2% of all alerts were dismissed in under 1 second after the alert appeared. We found empirical support that habitual dismissal is one of the key factors associated with alert dismissal. We also found that habitual dismissal of alerts is self-reinforcing, which suggests significant challenges in disrupting or changing alert dismissal habits once they are formed.
Habitual tendencies are associated with the dismissal of alerts. This relationship is pervasive across all levels of physician rank and experience, and the effect is self-reinforcing.
先前的文献表明,警示信息的忽略可能与医生的习惯和自动化处理有关。这一观点的证据主要来自观察性数据。本研究使用电子病历系统中的日志数据,从经验上验证这一观点。
我们旨在量化医生习惯与警示信息忽略之间的关联。
我们对 2017 年 3 月至 2018 年 12 月期间某医院住院患者生成的 66049 条警示信息的日志数据进行了回顾性分析。我们分析了 1152 名医生,他们暴露于医院电子病历系统中触发的特定临床支持警示,以评估习惯强度(习惯学习形成的)对医生忽略警示的倾向的影响程度。我们进一步研究了医生的习惯强度与其随后忽略警示的事件之间的关联。此外,我们记录了医生对警示做出响应的时间,并收集了与警示相关的其他临床和环境因素的数据作为分析的协变量。
我们发现,医生之前忽略警示会导致他们的警示忽略习惯强度增加。此外,医生的警示忽略习惯强度与其初始忽略后再次忽略警示的事件呈正相关。习惯性学习导致的警示忽略在所有医生职级中都很普遍,从初级实习医生到高级主治专家。此外,警示忽略通常在非常短的处理时间后发生。我们的研究发现,72.5%的警示在出现后 3 秒内被忽略,13.2%的警示在出现后 1 秒内被忽略。我们有经验证据表明,习惯性忽略是与警示忽略相关的关键因素之一。我们还发现,警示忽略具有自我强化的特点,这表明一旦形成,改变或改变警示忽略习惯会面临重大挑战。
习惯性倾向与警示忽略有关。这种关系在所有医生职级和经验水平中都普遍存在,而且这种影响具有自我强化的特点。